A k-space-to-image reconstruction network for MRI using recurrent neural network.

Journal: Medical physics
Published Date: Dec 12, 2020

Abstract

PURPOSE: Reconstructing the images from undersampled k-space data are an ill-posed inverse problem. As a solution to this problem, we propose a method to reconstruct magnetic resonance (MR) images directly from k-space data using a recurrent neural network.

Authors

  • Changheun Oh
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.
  • Dongchan Kim
    College of Medicine, Gachon University, Incheon, South Korea.
  • Jun-Young Chung
    Gachon University, 191 Hambakmoe-ro, Yeonsu-gu, Incheon, 21565, Republic of Korea.
  • Yeji Han
    Gachon University, 191 Hambakmoe-ro, Yeonsu-gu, Incheon, 21565, Republic of Korea.
  • HyunWook Park
    Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea.

Keywords

External Resources

Popular Topics
Recent Journals